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10 часов назад

AI Application Engineer (LLM)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Application Engineer (LLM): Building production-grade applications and agentic systems powered by large language models with an accent on LLM workflow orchestration, data-driven evaluation, and scalable cloud deployment. Focus on designing autonomous task-execution workflows, improving model interactions through experimentation, and ensuring application reliability, security, and maintainability.

Location: Hybrid role based in Charlotte, North Carolina, or Hudson, Ohio, United States

Company

hirify.global provides a technology and software platform that manages mission-critical healthcare equipment and automates procurement of parts, services, and training for healthcare providers and service organizations.

What you will do

  • Design, develop, and deploy production-grade applications powered by large language models.
  • Develop and orchestrate complex LLM workflows and agentic systems for autonomous decision-making and task execution.
  • Apply modular design, testing, and CI/CD practices to maintain high-quality codebases.
  • Evaluate and optimize LLM interactions through metrics, experimentation, and iterative research.
  • Collaborate with data scientists, product managers, UX designers, and senior leaders to align AI solutions with business objectives.
  • Deploy and manage secure, scalable, and reliable applications on cloud platforms.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Professional experience designing, developing, and deploying production-grade software applications.
  • Strong understanding of data-driven development, experimentation, evaluation, and optimization of AI models and interactions.
  • Knowledge of agentic systems and their use in automating complex tasks.
  • Hands-on experience with Genkit, TypeScript, Firebase, Google Cloud Platform, Vertex AI, and Gemini.
  • Legal authorization to work in the United States is required.

Nice to have

  • Experience with AWS, Azure, and other AI/ML cloud services.
  • Familiarity with additional AI frameworks and libraries for building and evaluating LLM applications.
  • Experience researching and experimenting with LLMs to improve performance and user experience.
  • Understanding of Docker, Kubernetes, and other DevOps practices.

Culture & Benefits

  • Work on AI applications and scalable agentic systems addressing real-world healthcare challenges.
  • Hybrid work culture with flexible, collaborative workspaces.
  • Competitive compensation with incentives, equity, and comprehensive benefits.
  • Benefits include a 401(k) match, health coverage, and college debt reduction.
  • Professional development through training, coaching, and new experiences.
  • Inclusive environment focused on collaboration, learning, and growth.

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